AIMC Topic: Biliary Atresia

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Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia.

BMC medicine Feb 27, 2025
BACKGROUND: Early diagnosis of biliary atresia (BA) is crucial for improving patient outcomes, yet remains a significant global challenge. This challenge may be ameliorated through the application of artificial intelligence (AI). Despite the promise ...
Humans Male Artificial Intelligence Infant Female Infant, Newborn Prospective Studies Early Diagnosis Retrospective Studies Biliary Atresia Deep Learning Ultrasonography
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Development of a diagnostic model for biliary atresia based on MMP7 and serological tests using machine learning.

Pediatric surgery international Jul 19, 2024
OBJECTIVE: To develop a machine learning diagnostic model based on MMP7 and other serological testing indicators for early and efficient diagnosis of biliary atresia (BA).
Humans Infant, Newborn Infant Machine Learning Retrospective Studies Matrix Metalloproteinase 7 Biliary Atresia Feces Serologic Tests
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Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study.

Computers in biology and medicine Apr 16, 2024
Cholestasis, characterized by the obstruction of bile flow, poses a significant concern in neonates and infants. It can result in jaundice, inadequate weight gain, and liver dysfunction. However, distinguishing between biliary atresia (BA) and non-bi...
Cholestasis Early Diagnosis Biliary Atresia Infant, Newborn Male Infant Support Vector Machine Machine Learning Female Humans
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Establishment of Biliary Atresia Prognostic Classification System via Survival-Based Forward Clustering - A New Biliary Atresia Classification.

Indian journal of pediatrics Dec 4, 2023
OBJECTIVES: To develop a machine learning algorithm with prognosis data to identify different clinical phenotypes of biliary atresia (BA) and provide instructions for choosing treatment schemes.
Biliary Atresia Infant, Newborn Humans Male Retrospective Studies Infant Machine Learning Cluster Analysis Algorithms Female Prognosis
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Deep learning quantification reveals a fundamental prognostic role for ductular reaction in biliary atresia.

Hepatology communications Dec 1, 2023
BACKGROUND: We aimed to quantify ductular reaction (DR) in biliary atresia using a neural network in relation to underlying pathophysiology and prognosis.
Humans Biliary Atresia Prognosis Liver Cirrhosis Portoenterostomy, Hepatic Deep Learning Bile Acids and Salts
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The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.

PloS one Oct 19, 2022
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed onset of jaundice. In the current practice, percutaneous liver biopsy and intraoperative cholangiography (IOC) remain the golden standards for diagno...
Infant Humans Deep Learning Artificial Intelligence Biliary Atresia Retrospective Studies Child Cholangiography
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Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images.

Nature communications Feb 24, 2021
It is still challenging to make accurate diagnosis of biliary atresia (BA) with sonographic gallbladder images particularly in rural area without relevant expertise. To help diagnose BA based on sonographic gallbladder images, an ensembled deep learn...
ROC Curve Gallbladder Biliary Atresia Deep Learning Humans Ultrasonography
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